{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["attack pattern", "victim", "trusted entity", "tool", "purpose", "damage amount"]}, {"event_type": "ransom", "trigger": true, "arguments": ["place", "price", "time", "attacker", "victim", "payment method", "tool"]}, {"event_type": "data breach", "trigger": true, "arguments": ["tool", "damage amount", "compromised data", "number of victim", "time", "attacker", "place"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "vulnerable system owner", "time", "vulnerable system", "vulnerability", "discoverer", "capabilities", "vulnerable system version"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "vulnerability", "supported platform", "vulnerable system", "patch", "patch number", "time", "issues addressed"]}], "input": "DHL branding was mimicked and fake shipping notifications were sent out , asking recipients to download an attached file that contained highly destructive trojan malware ."}
{"phishing": [{"trigger": "was mimicked", "arguments": {"attack pattern": "NAN", "victim": "NAN", "trusted entity": "DHL branding", "tool": "NAN", "purpose": "NAN", "damage amount": "NAN"}}], "ransom": [], "data breach": [], "discover vulnerability": [], "patch vulnerability": []}